Digital transformation is fundamentally reshaping transportation analytics thanks to the rise of cloud computing, machine vision systems, and deep neural networks. The Bellevue, Washington Transportation Department—in partnership with multiple technology development companies and research institutes—is developing a video analytics platform that leverages these systems to convert raw video footage from its network of traffic cameras into detailed data on traffic flow, speeds, and other vehicle conditions. Understanding this data enables local governments to take proactive actions to reduce the potential for future crashes, improve signal operations, and meet residents’ demands to be more responsive, transparent, and accountable in decisions and investments.
Learning Objectives:
1. Identify the challenges with traditional transportation data collection methods and examine a more cost-effective approach to collecting actionable traffic data using a real-time video analytics platform.
2. Evaluate the effects of new roadway infrastructure investments on motor vehicle, pedestrian, and bicycle activity using a real-time video analytics platform.
3. Plan for and implement new performance measurement systems based on a video analytics platform to inform transportation decision-making.
Contributor(s)
Franz Loewenherz